Convolutional Neural Network Defect Detection Algorithm for Wire Bonding X-ray Images

To address the challenges of complex backgrounds, small defect sizes, and diverse defect types in defect detection of wire bonding X-ray images, this paper proposes a convolutional-neural-network-based defect detection method called YOLO-CSS. This method designs a novel feature extraction network th...

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Detalles Bibliográficos
Autores principales: Zhan, Daohua, Huang, Renbin, Yi, Kunran, Yang, Xiuding, Shi, Zhuohao, Lin, Ruinan, Lin, Jian, Wang, Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647530/
https://www.ncbi.nlm.nih.gov/pubmed/37763900
http://dx.doi.org/10.3390/mi14091737

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647530/
https://www.ncbi.nlm.nih.gov/pubmed/37763900
http://dx.doi.org/10.3390/mi14091737

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